PPT-AATF Genome : Importance In Oncogenesis

AATF Genome Importance In Oncogenesis Dr Deepak Kaul PhDAIIMS FRC Path London FNA FWAAS Professor amp Head Department of Experimental Medicine amp Biotechnology Postgraduate Institute of Medical Education amp Research. Mayo/UIUC Summer . C. ourse in Computational Biology. Session Outline. Genome sequencing. Schematic overview of genome assembly. (a) DNA is collected from the biological sample and sequenced. (b) The output from the sequencer consists of many billions of short, unordered DNA fragments from random positions in the genome. (c) The short fragments are compared with each other to discover how they overlap. (d) The overlap relationships are captured in a large assembly graph shown as nodes representing . The Plot. Deepak . Purushotham. Hamid Reza . Hassanzadeh. Haozheng. . Tian. Juliette . Zerick. Lavanya. . Rishishwar. Piyush. . Ranjan. Lu Wang. The Outline. The Need & The Requirement. The Options. Genome Browser. Combines a genome database with interactive web pages. Allows the user to retrieve and manipulate database record through a graphical user interface (GUI). Different types of information are displayed in an intuitive fashion in user-configurable “tracks”. From Swab to Publication. Madison I. Dunitz. 1. , David A. Coil. 1. , Jenna M. Lang. 1. , Guillaume Jospin. 1. , Aaron E. Darling. 2. , Jonathan A. Eisen. 1. UC Davis Genome Center. 1. University of California, Davis; . BCB 660. October 20, 2011. From Carson Holt. Annotations. Automated. Ab. initio. (based on genomic sequence alone). Involves comparisons to known proteins (BLAST similarity). Sequence motifs such as start/stop . (as told by Michael Lynch). Genome size and complexity varies across the tree of life. Lynch 2007. Some Big Questions. What is the relationship between genomic and organismal size/complexity?. Are genome size changes adaptive, or passively acquired?. By Kevin Chen, . Lior. . Pachter. PLoS. Computational Biology, 2005. David Kelley. State of . metagenomics. In July 2005, 9 projects had been completed.. General challenges were becoming apparent. Paper focuses on computational problems. from Biological . Problem to . Combinatorial Algorithms. (and back). Pavel Pevzner. Department of Computer . Science,. . University . of California at San Diego. What is the evolutionary scenario for transforming one genome into the other?. Basic Biology: DNA. Genetic information is stored in . deoxyribonucleic acid (DNA) . molecules.. A single DNA molecule is a sequence of . nucleotides. adenine (. A. ). cytosine (. C. ). guanine (. G. Genome sequencing. Next Gen sequencing. Genomics = resources. genome maps. genome sequences. genome clones. DNA microarrays. whole gene collections. functional genomics!. 1980- 1998. 1977- 2003. DNA mapping. . John Glass. for members of the . Venter Institute Synthetic Genomics Group. The J. Craig Venter Institute, . Rockville, MD and San Diego, CA. Construction of a Bacterial Cell Containing Only Essential Genes Necessary to Impart . Dan Gilchrist. National Human Genome Research Institute. October 18, 2016. The ENCODE Project. 3D Data Access Through the ENCODE Portal. The ENCODE Encyclopedia. Tools for Investigating Genetic Variants. Mayo/UIUC Summer . C. ourse in Computational Biology. Session Outline. Genome sequencing. Schematic overview of genome assembly. (a) DNA is collected from the biological sample and sequenced. (b) The output from the sequencer consists of many billions of short, unordered DNA fragments from random positions in the genome. (c) The short fragments are compared with each other to discover how they overlap. (d) The overlap relationships are captured in a large assembly graph shown as nodes representing . Genome: the total number of genes in an individual.. Human Genome- approx. 20,000 genes on the 46 human chromosomes.. Human Genome Project (HGP). Ongoing effort to completely map and sequence our genome..